A cloud-based remote sensing data production system

SIG-DDS: a Grid-based Remote Sensing Data Distribution System

Data distribution is one of the most important steps for the remote sensing applications; it depends on the Remote Sensing Data Distribution System (RS-DDS). The conventional RS-DDS such as GCMD Mapserver [1] or CEOP [2] often provides a web based user interface and supports little data types only. Although the WCS [3]/WFS [4]/WMS [5] purposed by OGC try to make it possible for applications to ...

Air temperature estimation based on environmental parameters using remote sensing data

 This study is aimed at estimating monthly mean air temperature (Ta) using the MODIS Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), latitude, altitude, slope gradient and land use data during 2001-2015. The results showed that despite some spatial similarities between annual spatial patterns of Ta and LST, their variations are significantly different, so that the...

Drought Analysis of Alvand Boundary River Using Remote Sensing Data

Extended abstract 1- Introduction       The study of the behavior of rivers in the arid and dry areas is one of the most important tasks in the country. Because the area has increased the effects of drought due to the sensitivity of the area and rainfall shortage, it causes changes in the flow and sediment regime, water resources, agriculture, and so on. Since plants react more precisely to t...

evaluating a new combined drought index based on remote sensing data (rcdi) in central iran

monitoring and evolution of drought is the first step in any drought management system. in this study, evaluation of a new indexa new method is provided to monitor the severity of drought with remote sensing combined drought index (rcdi). the index is based on the fact that drought is a natural phenomenon caused by a combination of various factors such as a shortage in the amount of precipitati...

Remote sensing based on hyperspectral data analysis